Evaluation of the Risk of Stroke with Confidence Predictions Based on Ultrasound Carotid Image Analysis
نویسندگان
چکیده
Conformal Predictors (CPs) are Machine Learning algorithms that can provide reliable confidence measures to their predictions. In this work, we make use of the Conformal Prediction framework for the assessment of stroke risk based on ultrasound images of atherosclerotic carotid plaques. For this application, images were recorded from 137 asymptomatic and 137 symptomatic plaques (symptoms are Stroke, Transient Ischaemic Attack (TIA), and Amaurosis Fugax (AF)). Two feature sets were extracted from the
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عنوان ژورنال:
- International Journal on Artificial Intelligence Tools
دوره 21 شماره
صفحات -
تاریخ انتشار 2012